Data Management: a gentle introduction
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| Title: | Data Management: a gentle introduction |
| Subtitle: | Balancing theory and practice |
| Author: | Bas van Gils, managing partner @ Strategy Alliance |
| Illustrations: | Andy Lo Tam Loi |
| Reviewers: | Mirjam Visscher and Tanja Glisin |
| Text editor: | Lisa Gaudette and Steve Newton (Galatea) |
| Publisher: | Van Haren Publishing, ’s-Hertogenbosch |
| ISBN hard copy: | 978 94 018 0550 6 |
| ISBN eBook (pdf): | 978 94 018 0552 0 |
| ISBN ePUB: | 978 94 018 0555 1 |
| Edition: | First edition, first impression, February 2020 |
| Lay out and DTP | Coco Bookmedia, Amersfoort – NL |
| Copyright: | © 2020 Van Haren Publishing |
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Although this publication has been composed with much care, neither author, nor editor, nor publisher can accept any liability for damage caused by possible errors and/or incompleteness in this publication.
Although this publication has been composed with most care, neither author nor publisher can accept any liability for damage caused by possible errors and/or incompleteness in this publication.
No part of this publication may be reproduced in any form by print, photo print, microfilm or other means without written permission by the publisher.
I wonder if Bas van Gils had in mind the quote by Albert Einstein, that “Everything should be made as simple as possible, but not simpler”, because in this book you are about to read, he has created a “gentle introduction” which truly serves the purpose of explaining data and data management. Personally, when I first got into the world of data 20+ years ago, and coming from a background in marketing and business development, I had to learn about data management through the gradual osmosis of interacting with data professionals. While this is useful in understanding the “what” of real-world practice, it doesn’t fill in the theoretical foundations of “how” and “why” which are necessary to understand why that real-world practice works the way it does. I know I would have come up to speed a whole lot faster, if I’d had access to this book.
One of the big themes in corporate data today is dataliteracy, and as organizations
